Applied state space modelling of non-Gaussian time series using integration-based Kalman filtering
- 1 December 1994
- journal article
- research article
- Published by Springer Nature in Statistics and Computing
- Vol. 4 (4) , 259-269
- https://doi.org/10.1007/bf00156749
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Posterior Mode Estimation by Extended Kalman Filtering for Multivariate Dynamic Generalized Linear ModelsJournal of the American Statistical Association, 1992
- A Monte Carlo Approach to Nonnormal and Nonlinear State-Space ModelingJournal of the American Statistical Association, 1992
- Approximate Predictive Integrals for Dynamic Generalized Linear ModelsPublished by Springer Nature ,1992
- Smoothing in dynamic generalized linear models by Gibbs samplingPublished by Springer Nature ,1992
- On kalman filtering, posterior mode estimation and fisher scoring in dynamic exponential family regressionMetrika, 1991
- Robustification of Kalman Filter ModelsJournal of the American Statistical Association, 1989
- The Effects of Seat Belt Legislation on British Road Casualties: A Case Study in Structural Time Series ModellingJournal of the Royal Statistical Society. Series A (General), 1986
- A Predictive Approach to Model SelectionJournal of the American Statistical Association, 1979
- Robust bayesian estimation for the linear model and robustifying the Kalman filterIEEE Transactions on Automatic Control, 1977
- Approximate non-Gaussian filtering with linear state and observation relationsIEEE Transactions on Automatic Control, 1975